AI-Powered Ocean Safety  for Councils

This demo shows ResQVision’s AI system tracking five rock fishers as they move across a known hazardous rock platform. Using computer vision, the system continuously monitors human presence and movement patterns, providing real-time situational awareness for rescue authorities. 📍 No fall or incident occurs in this clip: this video demonstrates tracking-only capability, which is essential for early risk identification, occupancy analysis, and alerting when individuals enter dangerous zones or fail to exit.

Demonstration of detection capabilities of the ResQvision neural network plaform. This is a direct stream from Bondi Beach running in realtime - Combined with our rip detection technology we can identify swimmers in dangerous situations and alert lifeguards early!

Third person view of life saver Alex jumping into a rip current at Bondi Beach. We are able to successfully detect, track and alert on the fact that a swimmer is in a rip - The model is also able to pick up the transition of a surfer into a swimmer once they come off the board and find themselves in the water as well.

Third person view of life saver Alex jumping into a rip current at Bondi Beach. We are able to successfully detect, track and alert on the fact that a swimmer is in a rip - The model is also able to pick up the transition of a surfer into a swimmer once they come off the board and find themselves in the water as well.